BayesSUR_internal

Run a SUR Bayesian sampler -- internal function

Bayesian seemingly unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression is described in Bottolo et al. (2021) <doi:10.1111/rssc.12490>, the software paper is in Zhao et al. (2021) <doi:10.18637/jss.v100.i11>, and the model with random effects is described in Zhao et al. (2024) <doi:10.1093/jrsssc/qlad102>.

Zhi Zhao

BayesSUR

Bayesian Seemingly Unrelated Regression Models in
High-Dimensional Settings

Marco Banterle

Leonardo Bottolo

Sylvia Richardson

Waldir Leoncio

Alex Lewin

Manuela Zucknick

BayesSUR_internal function

<dl><dt>dataFile</dt>
<dd>path to data file</dd>
<dt>outFilePath</dt>
<dd>path to where the output is to be written</dd>
<dt>nIter</dt>
<dd>number of iterations</dd>
<dt>nChains</dt>
<dd>number of parallel chains to run
NOTE THAT THIS IS BASICALLY JUST A WRAPPER</dd></dl>

Arguments

BayesSUR_internal — BayesSUR_internal

<dl>

<dt>dataFile</dt>
<dd>path to data file</dd>


<dt>outFilePath</dt>
<dd>path to where the output is to be written</dd>


<dt>nIter</dt>
<dd>number of iterations</dd>


<dt>nChains</dt>
<dd>number of parallel chains to run
NOTE THAT THIS IS BASICALLY JUST A WRAPPER</dd>

</dl>

BayesSUR_internal: BayesSUR_internal

Description

Arguments